Vinci4D.ai
Member of Technical Staff - Backend Engineer - Data Systems and APIs
Palo Alto HQ · Staff+
Sponsorship not specifiedDetected 117 days ago
Distributed SystemsBackend DevelopmentAWSGCPCloud PlatformsMachine LearningData EngineeringAI OrchestrationDesign Systems
About the role
- You'll work across the stack with ML engineers, physics researchers, and product engineers.
Responsibilities
- Build pipelines that generate and process large datasets used for training and evaluating models
- Build and maintain APIs used by the Vinci product
- Design services that support the core user workflows of the platform
Requirements
- Ability to write clean, maintainable, well-tested code
- Experience debugging and improving performance, reliability, and observability
- Familiarity with batch processing, distributed systems, or workflow orchestration
- Experience managing large datasets and data transformations
- Comfort working with compute-heavy workloads and long-running jobs
- Experience deploying and operating systems in cloud environments (AWS, GCP, or similar)
- Familiarity with containerized services and modern deployment workflows
Skills
- Software engineers have powerful AI tools.
- Hardware engineers still rely on workflows that take hours or days to simulate and iterate.
- Vinci is changing that.
- The system integrates foundation models with simulation engines to produce full-fidelity physical predictions in seconds instead of hours.
- Manage simulation outputs, geometry data, and experiment artifacts
- Develop tools for validating, transforming, and curating datasets
Company info
- Designing systems, not just implementing tickets
- Shipping features that go directly into the product
- Working closely with researchers and customers
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This listing is sourced directly from Vinci4D.ai's careers page and normalized into a canonical job model.